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Improvement of the sunflower bound Jozefien Dhaeseleer September - PowerPoint PPT Presentation

Congress Irsee Improvement of the sunflower bound Jozefien Dhaeseleer September 2017 1 / 12 2 Definition Subspace code Codewords are subspaces Constant or mixed dimension subspace code Subspace distance: d ( U , V ) = dim( U +


  1. Congress Irsee Improvement of the sunflower bound Jozefien D’haeseleer September 2017 1 / 12

  2. 2 Definition Subspace code ◮ Codewords are subspaces ◮ Constant or mixed dimension subspace code ◮ Subspace distance: d ( U , V ) = dim( U + V ) − dim( U ∩ V ) ◮ Speeds up the transmission of information through a wireless network 2 / 12

  3. 3 Sunflower t -intersecting constant dimension subspace codes Codewords are k -dimensional subspaces, where distinct codewords intersect in a t -dimensional subspace. Sunflower All codewords pass through the same t -dimensional subspace. 3 / 12

  4. 4 Sunflower Bound Sunflower Bound Large t -intersecting constant dimension subspace codes are sunflowers if � q k − q t � 2 � q k − q t � | C | > + + 1 q − 1 q − 1 ◮ This bound is probably too high. 4 / 12

  5. 5 Decrease the sunflower bound ◮ Codewords are three-dimensional subspaces, where distinct subspaces intersect in a point. ( k = 4 , t = 1). ◮ The sunflower bound is in this case � q 4 − q 1 � 2 � q 4 − q 1 � +1 = q 6 +2 q 5 +3 q 4 +3 q 3 +2 q 2 + q +1 + q − 1 q − 1 Purpose Decreasing the sunflower bound, for k = 4 , t = 1 , to q 6 . 5 / 12

  6. Summary of the proof Suppose we have a collection of q 6 solids that pairwise intersect in a point, and doesn’t form a sunflower. We look for a contradiction. ◮ All solids are located in a 7 , 8 or 9-dimensional space ◮ Entropy and Shearer’s Lemma ◮ Looking for a contradiction by countings 6 / 12

  7. All solids are located in a 7 , 8 or 9-dimensional space. S 1 P 13 P 14 S 3 S 4 Q P P 24 P 23 S 2 7 / 12

  8. Entropy and Shearer’s lemma Entropy The entropy H ( X ) of a random variable X = { x 1 , x 2 , . . . , x n } measures the quantity of uncertainty in X . Shearer’s lemma Suppose n different points in F 3 , that have n 1 projections on the XY -plane, n 2 projections on the XZ -plane, and n 3 projections on the YZ -plane. Then n 2 ≤ n 1 n 2 n 3 . Shearer’s lemma in our Situation Suppose L is a collection of lines, and P 1 , P 2 , . . . , P k +1 are k + 1 linearly independent points in PG ( k , q ) so that every point P i is located on at most l lines of L . Suppose n is the number of points in PG ( k , q ) so that PP i , ∀ i ∈ [1 , . . . , k + 1] is a line of L . Then we find that n ≤ l k / ( k − 1) + l . 8 / 12

  9. Looking for a contradiction by countings ◮ Double counting of the collection of points with specific characteristics. ◮ An inequality in function of q . ◮ A contradiction when q becomes large enough. 9 / 12

  10. Theorem Every 1-intersecting constant dimension subspace code of 4-spaces having size at least q 6 is a sunflower. 10 / 12

  11. 11 Further research ◮ Generalisation: Decreasing the sunflower bound when the codewords are k -dimensional subspaces that pairwise intersect in a point. ◮ Generalisation: Decreasing the sunflower bound when the codewords are k -dimensional subspaces that pairwise intersect in t -dimensional subspace. 11 / 12

  12. Thank you very much for your attention. 12 / 12

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